{"id":"W6927627634","doi":"10.3205/20ebm110","title":"Evaluation der Qualität maschineller Übersetzungen von wissenschaftlichen (Abstracts) und laienverständlichen Zusammenfassungen (PLS) von Cochrane Reviews","year":2020,"lang":"de","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane","funders":"","keywords":"Cover (algebra)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.5938507,0.001267574,0.005447137,0.001811373,0.003031443,0.00642582,0.01116874,0.0007222702,0.184295],"category_scores_gemma":[0.3013279,0.0008081056,0.001958084,0.01415674,0.004493337,0.003582346,0.002191836,0.0029299,0.2036191],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129639,"about_ca_system_score_gemma":0.007138856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003256525,"about_ca_topic_score_gemma":0.0002585011,"domain_scores_codex":[0.7744565,0.07173935,0.02231131,0.007324062,0.1199247,0.004244085],"domain_scores_gemma":[0.9492422,0.01148586,0.007980275,0.008679358,0.01506075,0.007551564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001529629,0.0007621963,0.001877217,0.001482271,0.002072049,0.0001961894,0.02326744,0.0001992641,0.002547557,0.009461403,0.448099,0.5098825],"study_design_scores_gemma":[0.001130168,0.0002474994,0.007679303,0.0005464002,0.001774121,0.0000191342,0.0007781292,0.1213518,0.0001393963,0.004357302,0.8610177,0.0009590794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3634822,0.1381662,0.0243194,0.339075,0.01125955,0.03422002,0.0002535672,0.0002692788,0.08895476],"genre_scores_gemma":[0.9539973,0.01009902,0.003672347,0.01126374,0.00730032,0.00080291,0.0009085651,0.0001835937,0.01177221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5905151,"threshold_uncertainty_score":0.999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7216488501632558,"score_gpt":0.6302555270399351,"score_spread":0.0913933231233206,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}